Sriperumbudur, Bharath

14 publications

AISTATS 2025 Nyström Kernel Stein Discrepancy Florian Kalinke, Zoltán Szabó, Bharath Sriperumbudur

NeurIPSW 2023 Duality and Sample Complexity for the Gromov-Wasserstein Distance Zhengxin Zhang, Ziv Goldfeld, Youssef Mroueh, Bharath Sriperumbudur

AISTATS 2022 Cycle Consistent Probability Divergences Across Different Spaces Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath Sriperumbudur

AISTATS 2020 Gain with No Pain: Efficiency of Kernel-PCA by Nyström Sampling Nicholas Sterge, Bharath Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi

AISTATS 2020 Gaussian Sketching Yields a J-L Lemma in RKHS Samory Kpotufe, Bharath Sriperumbudur

AISTATS 2019 On Kernel Derivative Approximation with Random Fourier Features Zoltan Szabo, Bharath Sriperumbudur

JMLR 2017 Density Estimation in Infinite Dimensional Exponential Families Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Aapo Hyvärinen, Revant Kumar

JMLR 2016 Kernel Mean Shrinkage Estimators Krikamol Muandet, Bharath Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf

NeurIPS 2015 Optimal Rates for Random Fourier Features Bharath Sriperumbudur, Zoltan Szabo

ICML 2014 Kernel Mean Estimation and Stein Effect Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton, Bernhard Schoelkopf

NeurIPS 2014 Kernel Mean Estimation via Spectral Filtering Krikamol Muandet, Bharath Sriperumbudur, Bernhard Schölkopf

ICML 2013 On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions Purushottam Kar, Bharath Sriperumbudur, Prateek Jain, Harish Karnick

AISTATS 2012 Consistency and Rates for Clustering with DBSCAN Bharath Sriperumbudur, Ingo Steinwart

AISTATS 2010 On the Relation Between Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath Sriperumbudur, Kenji Fukumizu, Gert Lanckriet